Semantic Publishing at the IET Georgi Georgiev, Marin Dimitrov

ISWC 2015

The Challenge

• IET is one of the biggest scientific publishers

−60 M scientific articles dating back from 1960 (1M new articles per year)

−Data aggregated from 1,000+ publishers

• Manual tagging / enrichment process

−Expensive expert annotators, time consuming, error prone, not scalable

• How to make content more useful to users?

− Improved search & discovery, recommendation of related content, analytics

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The Solution

• Based on Ontotext’s Semantic Publishing Platform

− Text analytics based on a SKOS vocabulary

−New terms identification

−Disambiguation of authors & organisations

− Enrichment with LOD data

−Recommendation of related content

−Analytics of the RDF graph

▪ related entities, trending topics

− Semantic search & content exploration

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The Solution

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Trending

topics

Related

entities

Related terms

(SKOS)

The Solution

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Related

articles

Authors &

organisations

Related terms

(SKOS)

Related

keywords

Key Benefits

• Enhanced content publishing

−Automated metadata annotation for articles

−Time & cost savings

− Identification of new terms (for extending the SKOS vocabulary)

−Metadata graph easy to re-purpose

• Enhanced content consumption

−Semantic search, easy navigation

−Related entities & content

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Thank You! Semantic Publishing at the IET